AI Ethics

AI in Latin America grapples with turning cities smart amid a $68.5 billion digital gap, where 80% urban dwellers face crime and inequality. Successes shine: Argentina's PROMETEA cuts legal work from 90 minutes to one with ethical safeguards; Colombia's MAIIA maps settlements at 85% accuracy for targeted aid; Chile's MIRAI predicts breast cancer risks using local data. Yet pitfalls abound—Brazil's facial recognition led to 90% Black arrests and wrongful detentions; Uruguay scrapped PredPol after poor results. The article urges transparent, homegrown AI with human oversight to foster democratic urban progress over authoritarian overreach.

Scraped articles involve automated extraction of online content like news or reviews using tools such as Python's BeautifulSoup or Scrapy. With AI's rise, billions of pages fuel models, but controversies arise—think LinkedIn's lawsuit over profile scraping or publishers losing ad revenue to AI summaries. Legally, public data is often fair under CFAA, yet republishing violates copyright. Ethically, it risks bias and devalues original work. Protect your site with robots.txt and monitoring; for ethical scraping, use APIs, throttle requests, and credit sources. Over 100 billion pages scraped yearly highlight the scale—innovate responsibly to avoid fines and bans.